NDLI: Improved colour-to-grey method using image segmentation and colour difference model for colour vision deficiency

Content Provider	IET Digital Library
Author	Zhang, Liang Xu, Qing Zhu, Guangming Song, Juan Zhang, Xiangdong Shen, Peiyi Wei, Wei Shah, Syed Afaq Ali Bennamoun, Mohammed
Abstract	Colour vision deficiency (CVD) is a genetic condition that has troubled people for a long time. This study proposes an improved colour-to-grey method for CVD using image segmentation and a colour difference model. In this method, the colour image is first segmented using a region growing method so that each region corresponds to one colour. Next, the colour difference is computed between arbitrary segmented region pairs. Finally, the greyscale image is obtained by minimising a target function. Experimental results show that compared with state-of-the-art colour-to-grey methods, the proposed algorithm can improve the E-score by about 10.99%.
Starting Page	314
Ending Page	319
Page Count	6
ISSN	17519659
Volume Number	12
e-ISSN	17519667
Issue Number	Issue 3, Mar (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/12/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2017.0482
Journal	IET Image Processing
Publisher Date	2017-10-03
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Arbitrary Segmented Region Pairs Colour Difference Model Colour Image Colour Vision Deficiency Computer Vision Computer Vision And Image Processing Technique CVD E-score Genetic Condition Greyscale Image Image Colour Analysis Image Segmentation Improved Colour-to-grey Method Optical, Image And Video Signal Processing Region Growing Method
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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